Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2722
Title: Resource Allocation for Video Transcoding in the Multimedia Cloud
Authors: Sahoo, Sampa
Parida, Ipsita
Mishra, Sambit Kumar
Sahoo, Bibhdatta
Turuk, Ashok Kumar
Keywords: Cloud
Video transcoding
Merger
Video Stream
QoS
Issue Date: Jun-2017
Publisher: Springer
Citation: 5th International Conference on Advanced Computing, Networking, and Informatics(ICACNI), NIT Goa, India,1-3 June 2017
Abstract: Video content providers like YouTube, Netix cater their content, i.e. news, shows, on the web which is accessible anytime anywhere. The multi-screens like TVs, smartphones, laptops created a demand to transcode the video into the appropriate video speciation ensuring different Quality of Services (QoS) such as delay. Transcoding a large, high-definition video requires a lot of time, computation. The cloud transcoding solution allows video service providers to overcome the above difficulties through the pay-as-you-use scheme, with the assurance of providing online support to handle unpredictable demands. This paper presents a cost-efficient cloud-based transcoding framework and algorithm (CVS) for streaming service providers. The dynamic resource provisioning policy used in framework finds the number of virtual ma-chines required for a particular set of video streams. Simulation results based on YouTube dataset show that the CVS algorithm performs better compared to FCFS scheme.
Description: Copyright for this paper belongs to proceeding publisher
URI: http://hdl.handle.net/2080/2722
Appears in Collections:Conference Papers

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